Decreased FADS2 expression at both mRNA and protein levels was confirmed in surgical specimens. The restoration of FADS2 expression, which allows for the endogenous conversion of n-3 fatty acids into proresolving lipid mediators, resulted in a significant reduction in proinflammatory macrophage infiltration and attenuated expression of inflammatory cytokines or adipokines. CONCLUSIONS These findings indicate that impaired fatty acid desaturation and lipid mediator imbalance within mesenteric adipose tissue contributes to chronic inflammation in CD. The therapeutic role of FADS2 may lead to improved CD treatment. © The Author(s) 2020. Published by Oxford University Press on behalf of European Crohn’s and Colitis Organisation. All rights reserved. For permissions, please email journals.permissions@oup.com.BACKGROUND Psoriasis is an inflammatory skin disease causing multisystem effects. Introduction of biologic drugs has led to promising results in treatment of this disease. Here, we carry out time-dependent profiling of psoriasis-related putative metabolic biomarkers. METHODS Skin excretion specimens were collected from 17 patients with psoriasis treated with biologics for 7?months. Blood specimens were obtained from the same patients at intervals of 1-3?months. A hydrogel micropatch sampling technique was implemented to collect lesional (L) and nonlesional (NL) skin specimens. The collected skin and blood specimens were analyzed by mass spectrometric methods. RESULTS The metabolites present on L skin-in particular, choline, and citrulline-showed greater dynamics, corresponding to the resolution of psoriasis than the metabolites present in NL skin or blood. Choline levels in L skin and blood correlated positively, while citrulline correlated negatively with the severity of individual psoriasis plaques and general disease severity, respectively. Nevertheless, the correlations between the metabolite levels in blood and general disease severity were weaker than those between the metabolite levels on L skin and severity of individual plaques. The changes of these skin metabolites were more prominent in the responders to the treatment than in the nonresponders. CONCLUSIONS The results support the feasibility of characterizing dynamic changes in psoriatic skin metabolic pro?les with the hydrogel micropatch probes and mass spectrometric tests. The study represents one of few attempts to explore relationships between skin and blood metabolite concentrations. However, practical use of the methodology in close clinical monitoring is yet to be demonstrated. © American Association for Clinical Chemistry 2020. All rights reserved. For permissions, please email journals.permissions@oup.com.Careful preoperative planning for patients with multiple intracranial aneurysms is paramount given the importance of an appropriate trajectory and exposure for each aneurysm that will be clipped. The general principle is to clip aneurysms in a retrograde manner, such that more distal aneurysms are clipped earlier, and more superficial aneurysms are clipped later. This patient had unruptured middle cerebral artery (MCA) and basilar artery (BA) apex aneurysms and elected for surgical clipping of both lesions. An orbitozygomatic craniotomy ipsilateral to the MCA aneurysm was performed to permit clipping of both lesions. The dissection initially focused on exposure of the MCA aneurysm and then focused on the carotid-oculomotor triangle to permit basilar apex exposure and aneurysm clipping. The MCA aneurysm was clipped second. Postoperative imaging demonstrated complete obliteration of both aneurysms. The patient gave informed consent for surgery and video recording. Institutional review board approval was deemed unnecessary. Used with permission from Barrow Neurological Institute, Phoenix, Arizona. Copyright © 2020 by the Congress of Neurological Surgeons.BACKGROUND There is a lack of reliable biomarkers for Major depressive disorder (MDD) in clinical practice. However, several studies have shown an association between alterations in microRNA levels and MDD, albeit none of them has taken advantage of machine learning (ML). https://www.selleckchem.com/products/VX-809.html METHOD Supervised and unsupervised ML were applied to blood microRNA expression profiles from a MDD case-control dataset (n=168) to distinguish between 1) case vs. control status, 2) MDD severity levels defined based on the Montgomery-Asberg Depression Rating Scale (MADRS) and 3) antidepressant responders vs. non-responders. RESULTS MDD cases were distinguishable from healthy controls with an area-under-the receiver-operating characteristic curve (AUC) of 0.97 on testing data. High vs. low severity cases were distinguishable with an AUC of 0.63. Unsupervised clustering of patients, before supervised ML analysis of each cluster for MDD severity, improved the performance of the classifiers (AUC of 0.70 for cluster 1 and 0.76 for cluster 2). Antidepressant responders could not be successfully separated from non-responders, even after patient stratification by unsupervised clustering. However, permutation testing of the top microRNA, identified by the ML model trained to distinguish responders vs. non-responders in each of the two clusters, showed an association with antidepressant response. Each of these microRNA markers was only significant when comparing responders vs. non-responders of the corresponding cluster, but not using the heterogeneous un-clustered patient set. CONCLUSIONS Supervised and unsupervised ML analysis of microRNA may lead to robust biomarkers for monitoring clinical evolution and for more timely assessment of treatment in MDD patients. © The Author(s) 2020. Published by Oxford University Press on behalf of CINP.TREC-COVID is an information retrieval (IR) shared task initiated to support clinicians and clinical research during the COVID-19 pandemic. IR for pandemics breaks many normal assumptions, which can be seen by examining nine important basic IR research questions related to pandemic situations. TREC-COVID differs from traditional IR shared task evaluations with special considerations for the expected users, IR modality considerations, topic development, participant requirements, assessment process, relevance criteria, evaluation metrics, iteration process, projected timeline, and the implications of data use as a post-task test collection. This article describes how all these were addressed for the particular requirements of developing IR systems under a pandemic situation. Finally, initial participation numbers are also provided, which demonstrate the tremendous interest the IR community has in this effort. © The Author(s) 2020. Published by Oxford University Press on behalf of the American Medical Informatics Association.